Còn hàng
Probability and Computing 2nd Edition
Probability and Computing 2nd Edition
Probability and Computing 2nd Edition
Probability and Computing 2nd Edition
Probability and Computing 2nd Edition
Probability and Computing 2nd Edition
Probability and Computing 2nd Edition
Probability and Computing 2nd Edition
Probability and Computing 2nd Edition

Probability and Computing 2nd Edition

Tình trạng: Còn hàng
Tác giả: bridge University Press
Loại: Statistics

Greatly expanded, this Probability and Computing 2nd Edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. 

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📚📚 I. THÔNG TIN SẢN PHẨM
📒 Mã sản phẩm :  STT1090
📒 Nhà xuất bản :  Cambridge University Press; 2nd edition (July 3, 2017)
📒 Tác giả :  Michael Mitzenmacher, Eli Upfal 
📒 Ngôn ngữ :   Tiếng Anh
📒 ISBN      : 9781107154889
📒 Số trang : 490  trang
📒 Hình thức : Bìa Mềm, in ĐEN TRẮNG
📒 Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
📒 Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và hightlight thoải mái.
📒 Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.


📚📚 II. MÔ TẢ SẢN PHẨM
📒 1.Mô tả sản phẩm

Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC dimension, Rademacher complexity, power laws and related distributions, cuckoo hashing, and the Lovasz Local Lemma. Material relevant to machine learning and big data analysis enables students to learn modern techniques and applications. Among the many new exercises and examples are programming-related exercises that provide students with excellent training in solving relevant problems. This book provides an indispensable teaching tool to accompany a one- or two-semester course for advanced undergraduate students in computer science and applied mathematics.

📒 2. Tác giả

Michael Mitzenmacher is a Professor of Computer Science in the School of Engineering and Applied Sciences at Harvard University, Massachusetts. Professor Mitzenmacher has authored or co-authored over 200 conference and journal publications on a variety of topics, including algorithms for the internet, efficient hash-based data structures, erasure and error-correcting codes, power laws, and compression.


Eli Upfal is a Professor of Computer Science at Brown University, where he was also the department chair from 2002 to 2007. Prior to joining Brown in 1998, he was a researcher and project manager at the IBM Almaden Research Center, and a professor at the Weizmann Institute of Science, Israel. 

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